[hibernate-dev] Coordinates storage in Lucene index for spatial functionality

[Emmanuel Bernard]

How comes the DistanceFilter has to compute the distance for the whole corpus?

By the way the actual storage (say via Hibernate ORM, or Infinispan) does not need to store in radian, so we don't need to do a conversion when reading an entity.

On 3 mai 2012, at 10:45, Sanne Grinovero wrote:

> The reason for my comment is that the code is doing a conversion to
> radians in the DistanceFilter, which needs to be extremely efficient
> as it's not only applied on the resultset but potentially on the whole
> corpus of all Documents in the index.
> So even if it's true that conversion would be needed on the final
> results, we always expect people to retrieve only a limited amount of
> entities (like with pagination), while the index might need to perform
> this computation millions of times per query.
> 
> If I look at the complexity of Point.getDistanceTo(double, double), I
> get a feeling that that method will hardly provide speedy queries
> because of the complex computations in it - this is just speculation
> at this point of course, to be sure we'd need to compare them with a
> large enough dataset, but it seems quite obvious that storing
> normalized radians should be more efficient as it would avoid a good
> deal of math to be executed on each Document in the index.
> 
> Also if we assume people might want to use radians in their user data
> (I know some who definitely would never touch decimals for such a use
> case), there would be no need at all to convert the end result.
> 
> Some more thoughts inline:
> 
> On 3 May 2012 09:12, Nicolas Helleringer <nicolas.helleringer at gmail.com> wrote:
>> Hi all,
>> 
>> Sanne and I have been wondering about the way the spatial
>> branch/module/functionality for Hibernate Search shall store its
>> coordinates in the Lucene index.
>> 
>> Today it is implemented with decimal degree for :
>> - easy debugging/readability
>> - ease of conversion on storage as we want to accept mainly decimal degree
>> from users data
> 
> Valid points, but consider that "storage" is going to be way slower
> anyway, and typically you'll process a Document to evaluate it for a
> hit many many orders of magnitude more frequently than the times you
> store it.
> 
>> 
>> Sanne pointed out that when the search is done there is quite a few
>> conversion to radians for distance calculation and suggested that we may
>> store directly coordinates under their radians form.
>> 
>> I have tried a patch to implement this and as I was coding it I feel that
>> the code was less readable, in the coordinates normalisation mainly and
>> that there was as many conversion as before.
>> Conversions had moved from search to import / export of coordinates in and
>> out the spatial module scope to user scope.
> 
> I'm sure the amount of points in the code in which they are converted
> won't change. I'm concerned about the cardinality of the collections
> on which it's applied ;)
> "Less readable" isn't nice, but we can work on that I guess?
> 
>> 
>> What the docs does not tell (yet), is that we are waiting for WGS 84 (this
>> is a coordinate system) decimal degree coordinates input, as these are
>> quite a de facto standard (GPS output this way).
> 
> How does it affect this?
> 
>> 
>> Today this is not the purpose of Hibernate Search spatial initiative to
>> handle projections. There are opensource libs to handle that on user side
>> very well (Proj4j)
>> 
>> So. The question is : shall we store as radians or decimal degree ?
>> 
>> Niko
>> 
>> P.S : Hope it is clear. If not ask for more.
> 
> Thanks!
> Sanne
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